{"id":78165,"url":"https://alion.io/job/affirm-model-risk-management-lead-machine-learning-2","title":"Model Risk Management Lead, Machine Learning","company":{"id":572,"name":"Affirm","domain":"affirm.com","url":"https://alion.io/company/affirm","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":67,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":{"min":185000,"max":245000,"currency":"USD","period":"year","gross":null,"usd_annual":245000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-06-19T17:37:22Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-17T19:58:34Z","board_verified":true,"closed_at":null,"days_open":120,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":120},"description":"At Affirm, we exist for the moments that matter-giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.\nAbout Enterprise Risk & Internal Audit\nThe Enterprise Risk & Internal Audit department protects Affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth.\nAbout the Team\nWe’re looking for an intelligent, driven professional to join our Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk throughout the company. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the company by mitigating risks due to ineffective model design or model misuse.\nWhat You’ll Do\nPerform independent challenges of machine learning models used for credit underwriting, credit risk, and/or fraud detection through thorough validation and ongoing monitoring \n\nIdentify model weaknesses and opportunities for improvement\n\nCollaborate with model owners to remediate model validation findings\n\nPartner cross-functionally to implement and maintain the company’s MRM framework\n\nPartner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests\n\nWhat We Look For\n4-6 years of professional experience in related technical areas such as model development, model validation, data science\n\nDeep and broad knowledge and experience in machine learning modeling, credit underwriting, credit risk management, and/or fraud detection and fraud risk management\n\nProven ability to work with script languages(e.g., Python) and large-scale dataset (e.g., SQL)\n\nExtensive experience with machine learning platforms and frameworks (e.g., scikit-learn, pyspark) and cloud-based coding environments and databases\n\nBS, MS, or PhD in a quantitative field such as Math, Data Science, Computer Science\n\nOriented toward detail, curious about data/models/algorithms, skilled at critical thinking and problem solving\n\nExtraordinary interpersonal and verbal/written communication skills\n\nPay Grade -M\nEquity Grade - 8\nEmployees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)\nUSA base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000\nUSA base pay range (all other U.S. states) per year: $164,000 - $224,000\n\nRemote-first with flexibility built in\n Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.\nBenefits designed for you \n Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:\nHealth coverage at no cost: We cover 100% of premiums for employees and their dependents.\nSpending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.\nTime off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.\nOwn a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.\nWe’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.\nFor positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.\nBy clicking \"Submit Application,\" you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.","description_format":"text","description_chars":4635,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible time off"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["RegTech, AML & Compliance","Buy Now, Pay Later"],"lifecycle":[{"event":"open","at":"2026-06-19T17:37:22Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 74 · green card filings: 22","filings_12m":74,"filings_prev_12m":106,"green_card_filings_12m":22,"median_offered_wage_usd":175104,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":48}],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.686,"p_room":0.36,"age_days":119,"expected_fill_days":67,"reasons":["conf:1","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":245000,"is_top_pay":true},"html_url":"https://alion.io/job/affirm-model-risk-management-lead-machine-learning-2","json_url":"https://alion.io/job/affirm-model-risk-management-lead-machine-learning-2.json","meta":{"generated_at":"2026-10-17T19:59:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3549,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":572},"rest":"https://alion.io/mcp/rest/get_company?id=572"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faffirm-model-risk-management-lead-machine-learning-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Faffirm-model-risk-management-lead-machine-learning-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Faffirm-model-risk-management-lead-machine-learning-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/affirm-model-risk-management-lead-machine-learning-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faffirm-model-risk-management-lead-machine-learning-2"}]}